句法關系 的英文怎麼說
中文拼音 [jùfǎguānxì]
句法關系
英文
syntatic relationship-
The causative and conative usage of adjectives in classic chinese are both found in the svo structures, while the difference between the two lies in their alternative patterns of different semantic meanings
摘要古代漢語中形容詞的使動用法和意動用法一般都採用「主謂賓」結構式，兩者的區別在於句式的變換不同，動賓結構所表示的語義關系不同。Commercial relationships of a congruent relationship
一致關系一句話的語調分解與其語法特徵相對應Focusing on the function words, it recognizes all of the phrases which contain some function word, and analyzes the relationship of the phrases, to form the syntactic tree
它以語法功能詞為切入點，首先識別出所有包含語法功能詞的短語，然後分析短語之間的組合關系，最終得到句法樹。The syntactic forms of expressing symmetric relations
表達對稱性關系的句法手段At the same time, because general hierarchical is not good on question classification, this paper proposes a new method for chinese question hierarchical classification. this method combines the key class features with the question syntactic features to classify questions. since this method extracts the syntax features and adds syntax information into question classification, at last, the precision of the coarse classes reaches 88. 25 % and fine classes reaches 73. 15 %, respectively improves nearly ten percent than the traditional hierarchy classification, proving this method is effective
本文針對文本分類和問題分類的差別，利用依存分析提取主幹和疑問詞及其附屬成分，並結合主幹關聯詞對，採用支持向量機分類器，此方法大大減少了問題分類的噪音，突出了問題分類的主要特徵，並考慮了詞與詞之間的句法關系，取得了良好效果;同時，針對普通層次分類在問題分類上效果不理想的情況，本文提出了類別主特徵結合句法特徵的中文問題層次分類新思想，利用句法分析提取分類特徵，在問題分類中融入了句法信息，總的準確率達到大類88 . 25 %和小類73 . 15 % ，比傳統的層次分類分別提高了10個百分點，證明了此方法的有效性。Firstly, for the errors of text ’ character and word, utilizing neighborship of character or word, check character and word errors by character string co - occurrence probability. secondly, for the errors of syntax of text, according to statistic and analysis of a large - scale contemporary chinese corpus, recognize the predicate focus word and the others sentence ingredient, check the syntax errors. thirdly, for the errors of text ’ semanteme, establishing semantic dependency relationship tree based on hownet knowledge, presents a method that based on semantic dependency relationship analysis to compute sentence similarity, check the semantic errors
對于文本字詞錯誤的檢查，本文主要利用了字詞二元接續關系，根據同現概率檢查文本字詞錯誤;對于文本語法錯誤的檢查，本文利用教研室已有的一個大規模語料庫，通過對語料庫進行統計分析，獲得語法查錯所需要的語言規律和知識，利用謂語中心詞識別和其他句子成分識別的方法，檢查文本語法結構上的錯誤;對于文本語義錯誤的檢查，本文主要利用知網知識得到語義依存樹，通過對句子的有效搭配對的相似度計算檢查語義錯誤。Grammar assumes a simple logical one - to - one relationship between language unit ( word, sentence, etc. ) and meaning
語法假設在語言單位（如單詞和句子等等）和意義之間存在簡單的一對一的邏輯關系。The research of this paper is spread out mainly around 5 aspects : ( 1 ) the description of xmarc information theory system based on xml under network environment ; ( 2 ) the advanced design of field xmarc metadata ; ( 3 ) the foundation of k - s - c special knowledge relation by the identification " keyword + subject + category " ; ( 4 ) the establishment of xmarc theme knowledge automatic indexing and its algorithms ; ( 5 ) the research on knowledge processing method of concept retrieval and the theme classification based on xmarc
本文主要的工作是圍繞五個方面展開的：建立網路環境下基於xml的xmarc信息描述理論體系，比較設計領域的xmarc元數據，構建以「關鍵詞+主題詞+范疇號」標識的知識關系k - s - c （ keyword - subject - category ） ，建立xmarc主題知識的標引方摘要法及其演算法，提出xmarc主題知識的分類與詞句概念檢索方法。Moved collate clause to the correct position in the syntax diagram
將collate子句移到了語法關系圖中的正確位置。An approach to formalize and evaluate relational algebra operations by means of xdd is presented. a query is formalized as one or more xml clauses and evaluated by employment of equivalent transformation of xdd
提出了根據關系代數表達式構造查詢子句的方法，關系代數表達式可以用若干個xml子句描述，並通過等價變換得到查詢結果，證明了該方法的正確性。The relationship between children ' s syntactic awareness and reading ability
兒童句法意識與閱讀能力發展的關系When making sentences, english adopts an architectural style and uses many relatives while chinese prefers chronicle style and verbs
英語造句採用營造學手法，使用大量關系詞，而漢語採用編年史手法，多用動詞。On the foundation of pretreatment of language c subject, analyzing three existing similarity model and designing the similarity model of language c subject ; through the introduction of hownet ’ s structure and administrative levels and primitive ’ s similarity method, achieving semantic similarity method of words based on hownet, than advancing semantic similar as hownet to solve the similarity of domain words which are not embodied in hownet ; ulteriorly, through researching existing sentence similarity model and combining it with idiographic subjects, achieving the senntence similarity model towards language c subject library ; finally telling of the similarity model arithmetic ’ s application in language c subject library, then analyzing and estimating the effect of it in order to advance the shortage and expanding direction
在對c語言試題進行預處理的基礎上，分析了現有的三種相似度模型，並設計了c語言試題相似度模型;通過對知網的結構、層次關系以及知網中義原的相似度模型的介紹，實現了基於知網的詞的語義相似度模型，並提出用類似知網的語義詞典來解決知網中沒有收錄的領域詞匯的相似度;進一步地，通過研究現有的語句相似度模型，結合具體題目，實現了面向c語言試題庫的語句相似度模型演算法，最後具體講述了相似度演算法在c語言題庫中的應用，並對該方法的效果進行了客觀的分析和評價，以提出不足和發展方向。Elements of syntactic functions and semantic roles in english
英語句法功能成分與語義角色的關系Removed the default clause from the syntax diagram because it is already specified under
從語法關系圖中刪除了default子句，因為已經在Added drop not for replication clause to syntax diagram and the arguments definition list
向語法關系圖和參數定義列表中添加了drop not for replication子句。A word which is added to another word, a phrase or a sentence to indicate various supplementary meanings, grammatical relations or mood is called a partical
附在詞，詞組或句子上，表示一定的附加意義、語法關系或語氣的詞叫助詞。Our linguistic knowledge includes an awareness of a distinction between the structural and logical functional relations of constituents called grammatical relations
語法關系是指句子中名詞詞組與動詞的關系，其中涉及到主語和賓語的結構性和邏輯性。Thirdly, after sentence analysing and making clear of the gramma relationship and the comprehending of understanding of the original, what you should do is to face such problems that resolve appropriately each composing part of the long sentence and express them properly and exactly according to chinese usage
在進行句子分析、弄清語法關系、理解原文含義之後， 3 ：就是怎樣適當處理長句的各個組成部分，按漢語習慣妥善地確切地加以表達的問題。Part of speech tagging and verb subdivision can provide richer grammatical information for upper level application. for example, parser can utilize the information of part of speech to distingulish the syntactical relationships of different types
詞性標注和動詞細分類可以為上層應用提供更豐富的語法信息，例如句法分析可以利用這些詞性信息進行句法關系的識別。分享友人